Download or read book Research Methods in Remote Sensing written by Basudeb Bhatta and published by Springer Science & Business Media. This book was released on 2013-04-15 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the overall concepts of research methods in Remote Sensing. It also addresses the entire research framework, ranging from ontology to documentation. As such, it covers the theory while providing a solid basis for engaging in concrete research activities. It is not intended as a textbook on remote sensing; rather, it offers guidance to those conducting research by examining philosophical and other issues that are generally not covered by textbooks. Various stages of research are discussed in detail, including illustrative discussions and helpful references. The topics considered in this book cover a part of the research methodologies explored in Master of Philosophy (M.Phil.) and Doctor of Philosophy (Ph.D.) programs. The book’s physical format has been kept to a compact, handy minimum in order to maximize its accessibility and readability for a broad range of researchers in the field of remote sensing.
Download or read book Field Methods in Remote Sensing written by Roger M. McCoy and published by Guilford Press. This book was released on 2005-01-01 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise, much-needed guide takes readers step by step through planning and executing field work associated with many different types of remote sensing projects. Remote sensing texts and research reports typically focus on data-analytic techniques while offering a dearth of information on procedures followed in the field. In contrast, this book provides clear recommendations for defining field work objectives, devising a valid sampling plan, finding locations using GPS, and selecting and using effective measurement techniques for field reflectance spectra and for studies of vegetation, soils, water, and urban areas. Appendices feature sample field note forms, an extensive bibliography on advanced and specialized methods, and online metadata sources.
Download or read book Remote Sensing Digital Image Analysis written by John A. Richards and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.
Download or read book Kernel Methods for Remote Sensing Data Analysis written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2009-09-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.
Download or read book GNSS Remote Sensing written by Shuanggen Jin and published by Springer Science & Business Media. This book was released on 2013-10-01 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The versatile and available GNSS signals can detect the Earth’s surface environments as a new, highly precise, continuous, all-weather and near-real-time remote sensing tool. This book presents the theory and methods of GNSS remote sensing as well as its applications in the atmosphere, oceans, land and hydrology. Ground-based atmospheric sensing, space-borne atmospheric sensing, reflectometry, ocean remote sensing, hydrology sensing as well as cryosphere sensing with the GNSS will be discussed per chapter in the book.
Download or read book The SAGE Handbook of Remote Sensing written by Timothy A Warner and published by SAGE. This book was released on 2009-06-18 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′A magnificent achievement. A who′s who of contemporary remote sensing have produced an engaging, wide-ranging and scholarly review of the field in just one volume′ - Professor Paul Curran, Vice-Chancellor, Bournemouth University Remote Sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales Remote Sensing is a large and diverse field for which this Handbook will be the key research reference. Organized in four key sections: • Interactions of Electromagnetic Radiation with the Terrestrial Environment: chapters on Visible, Near-IR and Shortwave IR; Middle IR (3-5 micrometers); Thermal IR ; Microwave • Digital sensors and Image Characteristics: chapters on Sensor Technology; Coarse Spatial Resolution Optical Sensors ; Medium Spatial Resolution Optical Sensors; Fine Spatial Resolution Optical Sensors; Video Imaging and Multispectral Digital Photography; Hyperspectral Sensors; Radar and Passive Microwave Sensors; Lidar • Remote Sensing Analysis - Design and Implementation: chapters on Image Pre-Processing; Ground Data Collection; Integration with GIS; Quantitative Models in Remote Sensing; Validation and accuracy assessment; • Remote Sensing Analysis - Applications: LITHOSPHERIC SCIENCES: chapters on Topography; Geology; Soils; PLANT SCIENCES: Vegetation; Agriculture; HYDROSPHERIC and CRYSOPHERIC SCIENCES: Hydrosphere: Fresh and Ocean Water; Cryosphere; GLOBAL CHANGE AND HUMAN ENVIRONMENTS: Earth Systems; Human Environments & Links to the Social Sciences; Real Time Monitoring Systems and Disaster Management; Land Cover Change Illustrated throughout, an essential resource for the analysis of remotely sensed data, the SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Download or read book Remote Sensing Techniques and GIS Applications in Earth and Environmental Studies written by Abhisek Santra and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a critical reference source for the latest research on innovative methods for analyzing geographic data and utilizing sensor technologies for environmental monitoring. Featuring extensive coverage across a range of relevant perspectives and topics, such as land use, geospatial analysis, image interpretation, and site-suitability analysis"--
Download or read book Multitemporal Remote Sensing written by Yifang Ban and published by Springer. This book was released on 2016-12-01 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.
Download or read book Research Methods in Geography written by Basil Gomez and published by John Wiley & Sons. This book was released on 2010-05-10 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive textbook offers a conceptual and practical introduction to research methodology, data collection, and techniques used in both human and physical geography. Explores a full range of contemporary geographic techniques, including statistics, mathematical analysis, GIS, and remote sensing Unique in both content and organization, it brings together a team of internationally recognized specialists to create a balanced approach between physical geography, human geography, and research techniques Includes a series of foundational chapters offering multiple perspectives on the central questions in research methods Examines the conceptual frameworks and practical issues behind data acquisition and analysis, and how to interpret results Includes explanations of key terminology and exercises throughout
Download or read book Two Dimensional Change Detection Methods written by Murat İlsever and published by Springer Science & Business Media. This book was released on 2012-06-22 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.
Download or read book Signal Theory Methods in Multispectral Remote Sensing written by David A Landgrebe and published by John Wiley & Sons. This book was released on 2005-02-04 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: An outgrowth of the author's extensive experience teaching senior and graduate level students, this is both a thorough introduction and a solid professional reference. * Material covered has been developed based on a 35-year research program associated with such systems as the Landsat satellite program and later satellite and aircraft programs. * Covers existing aircraft and satellite programs and several future programs *An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Download or read book Analysis of Urban Growth and Sprawl from Remote Sensing Data written by Basudeb Bhatta and published by Springer Science & Business Media. This book was released on 2010-03-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.
Download or read book Hyperspectral Remote Sensing written by Prem Chandra Pandey and published by Elsevier. This book was released on 2020-08-05 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection Provides an overview of the state-of-the-art, including algorithms, techniques and case studies
Download or read book Remote Sensing of Vegetation written by Hamlyn G Jones and published by Oxford University Press, USA. This book was released on 2010-07-15 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible yet rigorous introduction to remote sensing and its application to the study of vegetation for advanced undergraduate and graduate students. The underlying physical and mathematical principles of the techniques disucussed are explained in a way readily understood by those without a strong mathematical background.
Download or read book Remote Sensing of Glaciers written by Petri Pellikka and published by CRC Press. This book was released on 2009-12-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Glaciers and ice sheets have been melting significantly during recent decades, posing environmental threats at local, regional and global scales. Changes in glaciers are one of the clearest indicators of alterations in regional climate, since they are governed by changes in accumulation (from snowfall) and ablation (by melting of ice). Glacier chan
Download or read book Remote Sensing Image Analysis Including the Spatial Domain written by Steven M. de Jong and published by Springer Science & Business Media. This book was released on 2007-07-26 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.
Download or read book GIS Research Methods written by Sheila L. Steinberg and published by ESRI Press. This book was released on 2015 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a spatially-based multiple methods approach to research serving academic and organizational researchers from across a wide variety of disciplines. For many, consideration of spatial relationships is an important component of their research questions, including those who may not have yet recognized GIS as a valuable tool. The book will provide readers essential steps to conceptualize and implement research and analysis, develop meaningful quantitative and qualitative geographic results and to communicate their findings using the visualization capabilities of GIS to assist decision-makers and affect policy. Furthermore it offers researchers a deeper understanding of social, economic and environmental questions considering spatial relationships in their data.The broad subject area of the project is the integration of spatial analysis as a research methodology. More specifically the book provides practical guidance for the identification, collection and analysis of appropriate research data for analysis in an Esri/ArcGIS context without being specific to a particular version of the software. The objective is to present ArcGIS with an eye towards incorporating spatial analysis as a fundamental component of mixed methods research. Because GIS is, by nature, an integrative technology which can draw together multiple data sources via a common spatial attribute, it is a natural fit for mixed-methods research. GIS provides the researcher an unparalleled ability to enhance their research incorporating a geographic perspective.
